Overview

Brought to you by YData

Dataset statistics

Number of variables11
Number of observations1326
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory114.1 KiB
Average record size in memory88.1 B

Variable types

Numeric11

Alerts

T1 is highly overall correlated with T2 and 6 other fieldsHigh correlation
T10 is highly overall correlated with T2 and 5 other fieldsHigh correlation
T2 is highly overall correlated with T1 and 7 other fieldsHigh correlation
T3 is highly overall correlated with T1 and 7 other fieldsHigh correlation
T4 is highly overall correlated with T1 and 7 other fieldsHigh correlation
T5 is highly overall correlated with T1 and 6 other fieldsHigh correlation
T6 is highly overall correlated with T1 and 7 other fieldsHigh correlation
T7 is highly overall correlated with T1 and 7 other fieldsHigh correlation
T8 is highly overall correlated with T10 and 6 other fieldsHigh correlation
T9 is highly overall correlated with T1High correlation

Reproduction

Analysis started2024-12-16 05:04:22.193689
Analysis finished2024-12-16 05:04:35.929635
Duration13.74 seconds
Software versionydata-profiling vv4.12.0
Download configurationconfig.json

Variables

T1
Real number (ℝ)

High correlation 

Distinct1325
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean512.86763
Minimum-0.33017133
Maximum2159.9377
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size10.5 KiB
2024-12-16T08:34:36.018270image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.33017133
5-th percentile72.821302
Q1223.41195
median366.27733
Q3698.23146
95-th percentile1386.9417
Maximum2159.9377
Range2160.2678
Interquartile range (IQR)474.8195

Descriptive statistics

Standard deviation418.9064
Coefficient of variation (CV)0.81679243
Kurtosis1.0807909
Mean512.86763
Median Absolute Deviation (MAD)193.50731
Skewness1.2837991
Sum680062.48
Variance175482.57
MonotonicityNot monotonic
2024-12-16T08:34:36.155623image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
661.1151669 2
 
0.2%
943.0734541 1
 
0.1%
924.1993841 1
 
0.1%
419.587262 1
 
0.1%
257.6985443 1
 
0.1%
68.83949214 1
 
0.1%
403.8918736 1
 
0.1%
846.0759706 1
 
0.1%
1140.926786 1
 
0.1%
572.2011036 1
 
0.1%
Other values (1315) 1315
99.2%
ValueCountFrequency (%)
-0.33017133 1
0.1%
3.946292624 1
0.1%
12.829188 1
0.1%
18.52581012 1
0.1%
19.47036829 1
0.1%
20.96610621 1
0.1%
21.93703191 1
0.1%
27.6276293 1
0.1%
28.33724361 1
0.1%
29.61929693 1
0.1%
ValueCountFrequency (%)
2159.937678 1
0.1%
2152.344106 1
0.1%
2109.232288 1
0.1%
2107.918564 1
0.1%
2067.672077 1
0.1%
2030.664524 1
0.1%
1941.979609 1
0.1%
1932.264893 1
0.1%
1846.968872 1
0.1%
1794.452232 1
0.1%

T2
Real number (ℝ)

High correlation 

Distinct1325
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean295.20975
Minimum0.009828674
Maximum1648.8414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:36.283035image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.009828674
5-th percentile43.128851
Q1102.2654
median183.67319
Q3370.48274
95-th percentile931.50689
Maximum1648.8414
Range1648.8315
Interquartile range (IQR)268.21734

Descriptive statistics

Standard deviation282.74234
Coefficient of variation (CV)0.95776763
Kurtosis2.1593512
Mean295.20975
Median Absolute Deviation (MAD)103.50147
Skewness1.6145625
Sum391448.12
Variance79943.23
MonotonicityNot monotonic
2024-12-16T08:34:36.575476image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.06517911 2
 
0.2%
287.9445478 1
 
0.1%
751.763822 1
 
0.1%
318.9894837 1
 
0.1%
42.79299616 1
 
0.1%
76.67060309 1
 
0.1%
225.7574284 1
 
0.1%
562.5781984 1
 
0.1%
292.6656779 1
 
0.1%
53.96666752 1
 
0.1%
Other values (1315) 1315
99.2%
ValueCountFrequency (%)
0.009828674 1
0.1%
9.108466062 1
0.1%
10.19648353 1
0.1%
10.48258245 1
0.1%
10.91184829 1
0.1%
11.19274983 1
0.1%
13.45666868 1
0.1%
14.18738079 1
0.1%
15.00459372 1
0.1%
15.74255677 1
0.1%
ValueCountFrequency (%)
1648.841362 1
0.1%
1520.981288 1
0.1%
1505.803084 1
0.1%
1494.761778 1
0.1%
1398.940117 1
0.1%
1330.812679 1
0.1%
1274.575142 1
0.1%
1265.048878 1
0.1%
1232.189341 1
0.1%
1213.992335 1
0.1%

T3
Real number (ℝ)

High correlation 

Distinct1324
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean835.70511
Minimum0.00999999
Maximum5898.1376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:36.706256image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.00999999
5-th percentile136.49722
Q1276.93419
median476.40999
Q31132.7795
95-th percentile2498.5138
Maximum5898.1376
Range5898.1276
Interquartile range (IQR)855.84528

Descriptive statistics

Standard deviation828.45987
Coefficient of variation (CV)0.99133039
Kurtosis3.929712
Mean835.70511
Median Absolute Deviation (MAD)256.59998
Skewness1.7887493
Sum1108145
Variance686345.76
MonotonicityNot monotonic
2024-12-16T08:34:36.836696image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196.2467041 2
 
0.2%
360.1866455 2
 
0.2%
633.1055908 1
 
0.1%
1790.568832 1
 
0.1%
691.3399658 1
 
0.1%
95.69000244 1
 
0.1%
338.3866529 1
 
0.1%
448.1033478 1
 
0.1%
1974.000031 1
 
0.1%
1882.726685 1
 
0.1%
Other values (1314) 1314
99.1%
ValueCountFrequency (%)
0.00999999 1
0.1%
19.86889648 1
0.1%
29.90222168 1
0.1%
39.53666687 1
0.1%
42.07777786 1
0.1%
45.82666016 1
0.1%
47.85557556 1
0.1%
50.22444153 1
0.1%
54.56556702 1
0.1%
57.33666992 1
0.1%
ValueCountFrequency (%)
5898.137563 1
0.1%
5777.117706 1
0.1%
5438.128887 1
0.1%
4651.187617 1
0.1%
4506.181305 1
0.1%
4502.569122 1
0.1%
4454.281921 1
0.1%
4354.265391 1
0.1%
4279.092222 1
0.1%
3939.207702 1
0.1%

T6
Real number (ℝ)

High correlation 

Distinct1325
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1093867
Minimum0.000213556
Maximum47.228608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:36.969533image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.000213556
5-th percentile0.93154518
Q12.1327719
median4.0179211
Q39.5425941
95-th percentile31.040037
Maximum47.228608
Range47.228395
Interquartile range (IQR)7.4098222

Descriptive statistics

Standard deviation9.4877797
Coefficient of variation (CV)1.169975
Kurtosis2.858119
Mean8.1093867
Median Absolute Deviation (MAD)2.395147
Skewness1.8798935
Sum10753.047
Variance90.017964
MonotonicityNot monotonic
2024-12-16T08:34:37.092255image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.100556715 2
 
0.2%
3.879040943 1
 
0.1%
23.74761753 1
 
0.1%
7.896609411 1
 
0.1%
0.783353689 1
 
0.1%
2.147733865 1
 
0.1%
6.605301984 1
 
0.1%
20.36835003 1
 
0.1%
10.93096998 1
 
0.1%
0.686846703 1
 
0.1%
Other values (1315) 1315
99.2%
ValueCountFrequency (%)
0.000213556 1
0.1%
0.185515151 1
0.1%
0.231254915 1
0.1%
0.338559277 1
0.1%
0.355673372 1
0.1%
0.432014747 1
0.1%
0.434792261 1
0.1%
0.44433212 1
0.1%
0.450342645 1
0.1%
0.470427508 1
0.1%
ValueCountFrequency (%)
47.22860809 1
0.1%
45.85488117 1
0.1%
45.59518108 1
0.1%
45.28509369 1
0.1%
44.97271163 1
0.1%
43.57719893 1
0.1%
43.23135547 1
0.1%
42.92945368 1
0.1%
42.23190951 1
0.1%
41.42289022 1
0.1%

T4
Real number (ℝ)

High correlation 

Distinct1325
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6499096
Minimum0.000121446
Maximum29.809032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:37.213377image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.000121446
5-th percentile0.6746278
Q11.564191
median2.929066
Q36.7980351
95-th percentile20.870597
Maximum29.809032
Range29.808911
Interquartile range (IQR)5.2338441

Descriptive statistics

Standard deviation6.3102815
Coefficient of variation (CV)1.1168819
Kurtosis2.2937937
Mean5.6499096
Median Absolute Deviation (MAD)1.7405472
Skewness1.7566947
Sum7491.7801
Variance39.819653
MonotonicityNot monotonic
2024-12-16T08:34:37.341748image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.553235701 2
 
0.2%
2.831436608 1
 
0.1%
16.35954097 1
 
0.1%
5.696232692 1
 
0.1%
0.564890083 1
 
0.1%
1.574833078 1
 
0.1%
4.761829279 1
 
0.1%
14.52797312 1
 
0.1%
7.74066223 1
 
0.1%
0.499223523 1
 
0.1%
Other values (1315) 1315
99.2%
ValueCountFrequency (%)
0.000121446 1
0.1%
0.12331604 1
0.1%
0.170023498 1
0.1%
0.237484918 1
0.1%
0.23917642 1
0.1%
0.304180887 1
0.1%
0.306552377 1
0.1%
0.312148604 1
0.1%
0.3157883 1
0.1%
0.34058357 1
0.1%
ValueCountFrequency (%)
29.809032 1
0.1%
29.29678845 1
0.1%
29.28171483 1
0.1%
28.78002469 1
0.1%
28.46532478 1
0.1%
28.07448199 1
0.1%
27.53932656 1
0.1%
27.49686252 1
0.1%
27.45122539 1
0.1%
26.98957785 1
0.1%

T7
Real number (ℝ)

High correlation 

Distinct1325
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4677178
Minimum4.83 × 10-5
Maximum14.363477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:37.463695image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum4.83 × 10-5
5-th percentile0.28615369
Q10.65207097
median1.2302414
Q32.9121475
95-th percentile9.4154142
Maximum14.363477
Range14.363429
Interquartile range (IQR)2.2600765

Descriptive statistics

Standard deviation2.8790502
Coefficient of variation (CV)1.1666853
Kurtosis2.8588958
Mean2.4677178
Median Absolute Deviation (MAD)0.73267526
Skewness1.8787077
Sum3272.1938
Variance8.2889298
MonotonicityNot monotonic
2024-12-16T08:34:37.605720image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.64000248 2
 
0.2%
1.188155218 1
 
0.1%
7.192878026 1
 
0.1%
2.415654055 1
 
0.1%
0.2410005 1
 
0.1%
0.656017768 1
 
0.1%
2.012336066 1
 
0.1%
6.181075128 1
 
0.1%
3.308745942 1
 
0.1%
0.210042702 1
 
0.1%
Other values (1315) 1315
99.2%
ValueCountFrequency (%)
4.83 × 10-51
0.1%
0.0511832 1
0.1%
0.070897767 1
0.1%
0.107253873 1
0.1%
0.109673364 1
0.1%
0.133486619 1
0.1%
0.13639888 1
0.1%
0.136873567 1
0.1%
0.141259807 1
0.1%
0.146596363 1
0.1%
ValueCountFrequency (%)
14.36347713 1
0.1%
13.9070564 1
0.1%
13.85328067 1
0.1%
13.75604381 1
0.1%
13.6496062 1
0.1%
13.19885857 1
0.1%
13.10695408 1
0.1%
13.06928092 1
0.1%
12.85656259 1
0.1%
12.570536 1
0.1%

T8
Real number (ℝ)

High correlation 

Distinct1323
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.06223
Minimum0.00375
Maximum269.29833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:37.738017image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.00375
5-th percentile6.8914585
Q112.237569
median21.65632
Q341.234103
95-th percentile78.603722
Maximum269.29833
Range269.29458
Interquartile range (IQR)28.996534

Descriptive statistics

Standard deviation27.500038
Coefficient of variation (CV)0.88532079
Kurtosis12.983404
Mean31.06223
Median Absolute Deviation (MAD)11.314996
Skewness2.5973078
Sum41188.517
Variance756.25211
MonotonicityNot monotonic
2024-12-16T08:34:37.871216image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.59624481 2
 
0.2%
8.493469238 2
 
0.2%
12.0676403 2
 
0.2%
31.52638865 1
 
0.1%
16.67544556 1
 
0.1%
58.06583405 1
 
0.1%
54.33014297 1
 
0.1%
3.89125061 1
 
0.1%
25.51083386 1
 
0.1%
27.59207535 1
 
0.1%
Other values (1313) 1313
99.0%
ValueCountFrequency (%)
0.00375 1
0.1%
2.085138798 1
0.1%
2.803611755 1
0.1%
2.993053436 1
0.1%
3.002919197 1
0.1%
3.010278702 1
0.1%
3.122081757 1
0.1%
3.179164886 1
0.1%
3.328056335 1
0.1%
3.534028053 1
0.1%
ValueCountFrequency (%)
269.2983341 1
0.1%
265.4084757 1
0.1%
255.4259949 1
0.1%
171.7734756 1
0.1%
163.1091919 1
0.1%
148.2433205 1
0.1%
146.7466431 1
0.1%
141.2275162 1
0.1%
140.485405 1
0.1%
137.7709656 1
0.1%

T9
Real number (ℝ)

High correlation 

Distinct1321
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.00031434145
Minimum-0.028915678
Maximum0.056412225
Zeros0
Zeros (%)0.0%
Negative1034
Negative (%)78.0%
Memory size10.5 KiB
2024-12-16T08:34:37.998913image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.028915678
5-th percentile-0.0076251885
Q1-0.001547893
median-0.000378302
Q3-5.63 × 10-5
95-th percentile0.007006759
Maximum0.056412225
Range0.085327903
Interquartile range (IQR)0.001491593

Descriptive statistics

Standard deviation0.0055863553
Coefficient of variation (CV)-17.771615
Kurtosis20.8237
Mean-0.00031434145
Median Absolute Deviation (MAD)0.000669069
Skewness2.5190257
Sum-0.41681676
Variance3.1207366 × 10-5
MonotonicityNot monotonic
2024-12-16T08:34:38.129767image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-7.83 × 10-52
 
0.2%
-0.00037585 2
 
0.2%
-7.47 × 10-52
 
0.2%
-6.03 × 10-52
 
0.2%
-0.000430507 2
 
0.2%
-0.000665171 1
 
0.1%
0.002521173 1
 
0.1%
-0.000535998 1
 
0.1%
-0.003045404 1
 
0.1%
-0.001629205 1
 
0.1%
Other values (1311) 1311
98.9%
ValueCountFrequency (%)
-0.028915678 1
0.1%
-0.026336684 1
0.1%
-0.026123411 1
0.1%
-0.025340967 1
0.1%
-0.020841989 1
0.1%
-0.019407294 1
0.1%
-0.018056899 1
0.1%
-0.015827745 1
0.1%
-0.015802265 1
0.1%
-0.015623231 1
0.1%
ValueCountFrequency (%)
0.056412225 1
0.1%
0.042020795 1
0.1%
0.040969538 1
0.1%
0.036954086 1
0.1%
0.036771407 1
0.1%
0.030153208 1
0.1%
0.028532823 1
0.1%
0.027797594 1
0.1%
0.02701327 1
0.1%
0.025446004 1
0.1%

T10
Real number (ℝ)

High correlation 

Distinct1324
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7996234
Minimum0.001805544
Maximum171.77348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:38.257764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.001805544
5-th percentile2.5000098
Q14.2510395
median7.0695224
Q312.110884
95-th percentile22.095761
Maximum171.77348
Range171.77167
Interquartile range (IQR)7.8598442

Descriptive statistics

Standard deviation11.515738
Coefficient of variation (CV)1.1751205
Kurtosis89.69735
Mean9.7996234
Median Absolute Deviation (MAD)3.4197302
Skewness7.8095323
Sum12994.301
Variance132.61222
MonotonicityNot monotonic
2024-12-16T08:34:38.387749image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.835662842 2
 
0.2%
3.568187714 2
 
0.2%
10.57460022 1
 
0.1%
15.94278717 1
 
0.1%
19.28861618 1
 
0.1%
1.391105652 1
 
0.1%
11.87124681 1
 
0.1%
9.471515656 1
 
0.1%
18.72538757 1
 
0.1%
13.9072876 1
 
0.1%
Other values (1314) 1314
99.1%
ValueCountFrequency (%)
0.001805544 1
0.1%
0.648888588 1
0.1%
0.989154816 1
0.1%
1.105558395 1
0.1%
1.188195705 1
0.1%
1.237778425 1
0.1%
1.251250029 1
0.1%
1.253067017 1
0.1%
1.273330688 1
0.1%
1.299022675 1
0.1%
ValueCountFrequency (%)
171.7734756 1
0.1%
167.1111908 1
0.1%
148.2433205 1
0.1%
133.9282055 1
0.1%
124.9616623 1
0.1%
73.42584482 1
0.1%
69.19375992 1
0.1%
58.81209183 1
0.1%
55.22930908 1
0.1%
53.41928101 1
0.1%

T11
Real number (ℝ)

Distinct1325
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0026296545
Minimum0.001178071
Maximum0.008733602
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:38.518211image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.001178071
5-th percentile0.001711571
Q10.002086176
median0.0024391125
Q30.002936326
95-th percentile0.0041470395
Maximum0.008733602
Range0.007555531
Interquartile range (IQR)0.00085015

Descriptive statistics

Standard deviation0.00084568559
Coefficient of variation (CV)0.32159571
Kurtosis8.0931169
Mean0.0026296545
Median Absolute Deviation (MAD)0.000402662
Skewness2.184307
Sum3.4869218
Variance7.1518411 × 10-7
MonotonicityNot monotonic
2024-12-16T08:34:38.663947image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.001846855 2
 
0.2%
0.002937878 1
 
0.1%
0.001918476 1
 
0.1%
0.003260717 1
 
0.1%
0.00147604 1
 
0.1%
0.003583863 1
 
0.1%
0.003335375 1
 
0.1%
0.002163298 1
 
0.1%
0.002958504 1
 
0.1%
0.001821018 1
 
0.1%
Other values (1315) 1315
99.2%
ValueCountFrequency (%)
0.001178071 1
0.1%
0.001240854 1
0.1%
0.001395338 1
0.1%
0.001406563 1
0.1%
0.001410599 1
0.1%
0.001417644 1
0.1%
0.001435307 1
0.1%
0.001472543 1
0.1%
0.00147604 1
0.1%
0.001487341 1
0.1%
ValueCountFrequency (%)
0.008733602 1
0.1%
0.008374559 1
0.1%
0.007731028 1
0.1%
0.007530378 1
0.1%
0.006920478 1
0.1%
0.006890737 1
0.1%
0.006882872 1
0.1%
0.006673549 1
0.1%
0.006279737 1
0.1%
0.006219373 1
0.1%

T5
Real number (ℝ)

High correlation 

Distinct1322
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.730169
Minimum0.025036827
Maximum122.42494
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:38.809582image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.025036827
5-th percentile2.9195006
Q17.3287365
median12.477472
Q323.07479
95-th percentile58.631345
Maximum122.42494
Range122.3999
Interquartile range (IQR)15.746053

Descriptive statistics

Standard deviation18.226308
Coefficient of variation (CV)0.97309899
Kurtosis6.0512556
Mean18.730169
Median Absolute Deviation (MAD)6.2548297
Skewness2.2582731
Sum24836.204
Variance332.19831
MonotonicityNot monotonic
2024-12-16T08:34:38.945995image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.550442192 2
 
0.2%
13.34748691 2
 
0.2%
1.904623564 2
 
0.2%
61.98168327 2
 
0.2%
8.176255177 1
 
0.1%
10.74762728 1
 
0.1%
3.235646446 1
 
0.1%
22.93654619 1
 
0.1%
20.17672082 1
 
0.1%
2.924428086 1
 
0.1%
Other values (1312) 1312
98.9%
ValueCountFrequency (%)
0.025036827 1
0.1%
0.804321271 1
0.1%
0.86759951 1
0.1%
0.978723963 1
0.1%
1.044685162 1
0.1%
1.106980183 1
0.1%
1.181203871 1
0.1%
1.227632099 1
0.1%
1.288845954 1
0.1%
1.356435559 1
0.1%
ValueCountFrequency (%)
122.424936 1
0.1%
116.6767662 1
0.1%
111.8960769 1
0.1%
109.0338952 1
0.1%
107.5046368 1
0.1%
103.9307356 1
0.1%
103.8938534 1
0.1%
103.3618632 1
0.1%
100.6637648 1
0.1%
99.35506008 1
0.1%

Interactions

2024-12-16T08:34:34.496687image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:22.484085image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:23.628100image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:24.784680image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:26.123310image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:27.230093image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:28.396354image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:29.592377image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:30.731729image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:32.053746image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:33.255749image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:34.590680image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:22.575834image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:23.726813image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:24.891393image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:26.218890image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:27.332171image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:28.491963image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:29.684515image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:30.837805image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:32.155305image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:33.354778image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:34.702142image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:22.687584image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:23.835607image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:24.992919image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:26.322181image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:27.437858image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:28.602195image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:29.797045image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:30.948115image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:32.264065image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:33.469366image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:34.809612image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:22.788617image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:23.938613image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:25.098011image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:26.421701image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:27.544674image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:28.707282image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:29.900735image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:31.054167image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:32.370909image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:33.577565image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:34.905782image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:22.878094image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:24.034395image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:25.208098image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:26.514705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:27.640807image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:28.818056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:29.995258image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:31.156155image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:32.479016image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:33.677269image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:35.014114image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:22.976918image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:24.137367image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:25.317195image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:26.616524image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:27.739587image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:28.926513image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:30.095667image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:31.262443image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:32.596174image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:33.788686image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:35.125612image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:23.087943image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:24.245176image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:25.428452image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:26.720189image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:27.853485image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:29.029262image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:30.199382image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:31.517409image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:32.703399image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:33.908378image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:35.229446image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:23.197987image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:24.349430image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:25.689613image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:26.816103image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:27.958226image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:29.135375image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:30.305051image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:31.614790image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:32.807626image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:34.028714image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:35.329232image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:23.299079image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:24.446866image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:25.793476image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:26.906794image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:28.057535image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:29.236990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:30.407828image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:31.710525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:32.912772image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:34.136664image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:35.436023image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:23.399013image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:24.556304image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:25.903948image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:27.010591image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:28.165364image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:29.358449image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:30.517276image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:31.835383image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:33.028245image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:34.257825image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:35.556029image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:23.517185image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:24.680783image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:26.021063image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:27.120907image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:28.291493image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:29.476724image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:30.626874image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:31.955361image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:33.146184image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:34.375683image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2024-12-16T08:34:39.045773image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
T1T10T11T2T3T4T5T6T7T8T9
T11.0000.455-0.2770.6900.6640.5580.6010.5570.5570.495-0.586
T100.4551.0000.1930.7100.7310.8020.4660.8050.8050.916-0.352
T11-0.2770.1931.0000.0220.0450.1940.0840.1930.1930.2450.223
T20.6900.7100.0221.0000.9340.8130.6080.8120.8110.806-0.441
T30.6640.7310.0450.9341.0000.8200.6590.8190.8180.836-0.413
T40.5580.8020.1940.8130.8201.0000.6471.0001.0000.882-0.449
T50.6010.4660.0840.6080.6590.6471.0000.6460.6460.580-0.358
T60.5570.8050.1930.8120.8191.0000.6461.0001.0000.884-0.449
T70.5570.8050.1930.8110.8181.0000.6461.0001.0000.883-0.450
T80.4950.9160.2450.8060.8360.8820.5800.8840.8831.000-0.357
T9-0.586-0.3520.223-0.441-0.413-0.449-0.358-0.449-0.450-0.3571.000

Missing values

2024-12-16T08:34:35.693717image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-12-16T08:34:35.859624image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

T1T2T3T6T4T7T8T9T10T11T5
0943.073454287.944548633.1055913.8790412.8314371.18815516.675446-0.00053610.5746000.0029383.235646
1924.199384751.7638221790.56883223.74761816.3595417.19287858.065834-0.00304515.9427870.00191822.936546
2419.587262318.989484691.3399667.8966095.6962332.41565454.330143-0.00162919.2886160.00326120.176721
3257.69854442.79299695.6900020.7833540.5648900.2410013.891251-0.0000251.3911060.0014762.924428
468.83949276.670603338.3866532.1477341.5748330.65601825.5108340.00038211.8712470.0035842.849114
5403.891874225.757428448.1033486.6053024.7618292.01233627.592075-0.0014629.4715160.00333511.868240
6846.075971562.5781981974.00003120.36835014.5279736.18107595.198196-0.00260718.7253880.00216316.306829
71140.926786292.6656781882.72668510.9309707.7406623.30874659.617096-0.00372013.9072880.00295928.160808
8572.20110453.966668230.7555540.6868470.4992240.2100435.406944-0.0000952.8613510.00182127.693206
9252.98092310.19648447.8555760.4704280.3405840.1465963.661249-0.0000392.2616690.0025211.288846
T1T2T3T6T4T7T8T9T10T11T5
1316322.33334963.944463137.3800050.8559460.6097520.2645666.096668-0.0000363.2766610.0015922.638843
1317356.082428151.766876638.4366462.2709571.6423420.69881815.036808-0.0002134.9963530.00169815.782963
1318161.13190690.057459145.2344360.8268540.5946380.25426312.0676400.0000023.5744470.0020146.478391
13191372.578953995.3922772115.60556026.31716618.0813917.99246453.483307-0.00711012.7804720.00224343.004900
1320102.197516102.964183298.1455425.0818503.7341331.55283221.2044450.0001166.4118090.00237313.529336
132159.61507361.310629260.9477833.9444382.8714311.20845924.0381930.00107111.4201370.0029214.467933
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